Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017
This dataset provides the hourly output of the firn model developed for Vandecrux et al. (2020, https://doi.org/10.1017/jog.2020.30). In that study, we filtered and gap-filled weather data from nine Greenland Climate Network (GC-Net) stations: Crawford Point 1 (CP1), Dye-2, NASA-SE, NASA-E, Saddle,...
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Online Access: | https://dx.doi.org/10.18739/a2cv4bs43 https://arcticdata.io/catalog/view/doi:10.18739/A2CV4BS43 |
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ftdatacite:10.18739/a2cv4bs43 2023-05-15T16:29:00+02:00 Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017 Vandecrux, Baptiste 2020 text/xml https://dx.doi.org/10.18739/a2cv4bs43 https://arcticdata.io/catalog/view/doi:10.18739/A2CV4BS43 en eng NSF Arctic Data Center Firn compaction snow model firn density firn temperature firn water content dataset Dataset 2020 ftdatacite https://doi.org/10.18739/a2cv4bs43 2021-11-05T12:55:41Z This dataset provides the hourly output of the firn model developed for Vandecrux et al. (2020, https://doi.org/10.1017/jog.2020.30). In that study, we filtered and gap-filled weather data from nine Greenland Climate Network (GC-Net) stations: Crawford Point 1 (CP1), Dye-2, NASA-SE, NASA-E, Saddle, South Dome, NASA-U, Summit and Tunu-N. We used these data to calculate the surface energy and mass balance which is used to force the firn model. The firn model is decribed in Vandecrux et al. (2018, https://doi.org/10.1029/2017JF004597, 2020, https://doi.org/10.1017/jog.2020.30) and its code is available at https://github.com/BaptisteVandecrux/SEB_Firn_model. The firn model has 200 layers. each composed of snow, ice and water compartments. Layers are managed in a Lagrangian framework with a splitting/merging strategy that keeps the resolution higher close to the surface. During snowfall, fresh snow is added as a new 4 centimeter (cm) w.e. thick layer with a density of 315 kilogram per cubic meter (kg m-3) to the top of the model. During melt, mass is taken from snow and ice compartments of the top layer and transferred to the water compartment. Downward flow follows Darcy's law as described by Langen et al. (2017, doi: 10.3389/feart.2016.00110) and Vandecrux et al. (2018, https://doi.org/10.1029/2017JF004597, 2020, https://doi.org/10.1017/jog.2020.30) . When the underlying layer is below freezing point, the water is refrozen, moved to the ice compartment of that layer until either the layer reaches melting point or the layer's bulk density reaches ice density. In the rare cases when it occurred, ponding of water over a layer of reduced permeability was allowed. No lateral runoff was allowed. The firn density is updated every time step for compaction as calculated from the overburden pressure (Vionnet et al., 2012, https://doi.org/10.5194/gmd-5-773-2012). Dataset Greenland Tunu DataCite Metadata Store (German National Library of Science and Technology) Crawford ENVELOPE(-86.467,-86.467,-77.717,-77.717) Crawford Point ENVELOPE(-97.562,-97.562,57.876,57.876) Greenland Langen ENVELOPE(11.650,11.650,-70.750,-70.750) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Firn compaction snow model firn density firn temperature firn water content |
spellingShingle |
Firn compaction snow model firn density firn temperature firn water content Vandecrux, Baptiste Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017 |
topic_facet |
Firn compaction snow model firn density firn temperature firn water content |
description |
This dataset provides the hourly output of the firn model developed for Vandecrux et al. (2020, https://doi.org/10.1017/jog.2020.30). In that study, we filtered and gap-filled weather data from nine Greenland Climate Network (GC-Net) stations: Crawford Point 1 (CP1), Dye-2, NASA-SE, NASA-E, Saddle, South Dome, NASA-U, Summit and Tunu-N. We used these data to calculate the surface energy and mass balance which is used to force the firn model. The firn model is decribed in Vandecrux et al. (2018, https://doi.org/10.1029/2017JF004597, 2020, https://doi.org/10.1017/jog.2020.30) and its code is available at https://github.com/BaptisteVandecrux/SEB_Firn_model. The firn model has 200 layers. each composed of snow, ice and water compartments. Layers are managed in a Lagrangian framework with a splitting/merging strategy that keeps the resolution higher close to the surface. During snowfall, fresh snow is added as a new 4 centimeter (cm) w.e. thick layer with a density of 315 kilogram per cubic meter (kg m-3) to the top of the model. During melt, mass is taken from snow and ice compartments of the top layer and transferred to the water compartment. Downward flow follows Darcy's law as described by Langen et al. (2017, doi: 10.3389/feart.2016.00110) and Vandecrux et al. (2018, https://doi.org/10.1029/2017JF004597, 2020, https://doi.org/10.1017/jog.2020.30) . When the underlying layer is below freezing point, the water is refrozen, moved to the ice compartment of that layer until either the layer reaches melting point or the layer's bulk density reaches ice density. In the rare cases when it occurred, ponding of water over a layer of reduced permeability was allowed. No lateral runoff was allowed. The firn density is updated every time step for compaction as calculated from the overburden pressure (Vionnet et al., 2012, https://doi.org/10.5194/gmd-5-773-2012). |
format |
Dataset |
author |
Vandecrux, Baptiste |
author_facet |
Vandecrux, Baptiste |
author_sort |
Vandecrux, Baptiste |
title |
Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017 |
title_short |
Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017 |
title_full |
Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017 |
title_fullStr |
Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017 |
title_full_unstemmed |
Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017 |
title_sort |
simulated firn density, temperature, liquid water content, compaction rates and cold content at nine greenland climate network (gc-net) weather stations sites during 1998-2017 |
publisher |
NSF Arctic Data Center |
publishDate |
2020 |
url |
https://dx.doi.org/10.18739/a2cv4bs43 https://arcticdata.io/catalog/view/doi:10.18739/A2CV4BS43 |
long_lat |
ENVELOPE(-86.467,-86.467,-77.717,-77.717) ENVELOPE(-97.562,-97.562,57.876,57.876) ENVELOPE(11.650,11.650,-70.750,-70.750) |
geographic |
Crawford Crawford Point Greenland Langen |
geographic_facet |
Crawford Crawford Point Greenland Langen |
genre |
Greenland Tunu |
genre_facet |
Greenland Tunu |
op_doi |
https://doi.org/10.18739/a2cv4bs43 |
_version_ |
1766018688338624512 |